News: (item1) Gregory Piatetsky, Industry Briefs: MineSet to NT, Dragon Mining Audio, SAS award Publications: (item2) Jerry Friedman, Preprint: boosting methods for regression and classification (item3) Alex Goodall, Launch of New Newsletter: Intelligence in Industry (item4) Se June, Special Issue on Data Mining: IEEE Intelligence Tools/Services: (item5) Stan Wong, Free software for academia: IBM DB2 UDB & Intelligent Miner (item6) Myra Spiliopoulou, Web Usage Mining Software Positions: (item7) Gregory Piatetsky, Boston, MA: Senior Data Miner/Analysts at Knowledge Stream Partners (item8) Ronny Kohavi, San Mateo, CA: Blue Martini hiring engineers in Data Mining Analytics, DB, Report, UI (item9) Ismail Parsa, Burlington, MA: Analytic Positions at Epsilon (item10) Ross Matthews, Wakefield, MA: Consultant - Quantitative Methods at Tessera (item11) Ross Matthews, Wakefield, MA: Consultant: Business Capabilities Integration at Tessera (item12) Louis Wehenkel, U. of Lihge, Belgium: Research position in Data Mining and Machine Learning Courses: (item13) Alexander Dement'ev, ANGOSS Course: Creating Business Value with Data Mining -- One Day Mastery Training, March 18, 1999, New York City Meetings: (item14) Anna Buczak, ANNIE'99: Smart Engineering System Design: Neural Networks, Fuzzy Logic, ... November 7-10, 1999, St. Louis, Missouri (item15) Jason Wang, CFP: Biomolecular Informatics Workshop, Atlantic City, New Jersey, USA, February 27 -- March 2, 2000 (item16) Elias Kalapanidas, CFP: Workshop on Intelligent Techniques for Spatio-Temporal Data Analysis, at ACAI99: 5-16 July 1999, Greece (item17) Ravi Krovi, Data Mining Sessions in AI track, Americas Conference on Information Systems, Milwaukee, WI August 13-15, 1999
Knowledge Discovery Nuggets (TM) or KDnuggets for short, is an electronic newsletter focusing on the latest news, publications, tools, meetings, and other relevant items in the Data Mining and Knowledge Discovery field. KDnuggets is currently reaching over 6400 readers in 80+ countries 2-3 times a month. Items relevant to data mining and knowledge discovery are welcome and should be emailed to editor in ASCII text or HTML format. An item should have a subject line which clearly describes what is it about to KDnuggets readers. Please keep calls for papers and meeting announcements short (50 lines or less of up to 80-characters), and provide a web site for details, such as papers submission guidelines. All items may be edited for size. To subscribe, see http://www.kdnuggets.com/subscribe.html Back issues of KD Nuggets, a catalog of data mining tools ("Siftware"), pointers to data mining companies, relevant websites, meetings, etc are available at KDnuggets Directory at http://www.kdnuggets.com/ -- Gregory Piatetsky-Shapiro (editor) gps ********************* Official disclaimer *************************** All opinions expressed herein are those of the contributors and not necessarily of their respective employers (or of KD Nuggets) ********************************************************************* ~~~~~~~~~~~~ Quotable Quote ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ If you use a sharp object for a long time, it will lose its sharpness. (Tao wisdom)
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